Demonstrates how to use sensitivity analysis to explain time-series forecasts using the ahead::dynrmf model with external regressors in R. The approach evaluates how changes in external regressors impact forecast outputs. Two examples are shown: US Consumption vs Income and TV Advertising vs Insurance Quotes, each using both
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